Live pig weight measuring method based on deep learning and depth camera

A deep camera and deep learning technology, applied in the agricultural field, can solve the problems of increasing labor cost, focusing on long cycle, and being unable to do what you want, so as to ensure natural growth, improve weighing efficiency, and reduce human intervention.

Pending Publication Date: 2021-11-26
INNER MONGOLIA UNIVERSITY
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Problems solved by technology

Compared with the former method, this method is more accurate in measurement, but the "platform scale (weighbridge)" is costly, consuming a lot of materials and money. In the face of modern large-scale farming with a huge base, the tr

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  • Live pig weight measuring method based on deep learning and depth camera
  • Live pig weight measuring method based on deep learning and depth camera
  • Live pig weight measuring method based on deep learning and depth camera

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Embodiment Construction

[0037] The following specific embodiments may be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present invention will be described below with reference to the accompanying drawings.

[0038] like figure 1 As shown, the present invention discloses a pig weight measurement method based on deep learning and a deep camera, including: S01: Obtain a pig's depth image;

[0039] like figure 2 As shown, obtaining the depth image of the live pig includes: installing the Kinect depth camera on the side of the feeding machine to capture the depth image of the still pig while eating, and the distance range is

[0040]

[0041] Among them, a is the angle of view of the Kinect depth camera, L is the length of the pig’s eating area, and D is the distance between the Kinect depth camera and the pig. The distance between the Kinect depth camera and the pig can be adjusted from 2.5m to 2.7m through the ab...

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Abstract

The invention discloses a live pig weight measurement method based on deep learning and a depth camera. The method comprises the steps of obtaining a depth image of a live pig; converting the depth image into three-dimensional point cloud data; preprocessing the three-dimensional point cloud data, and removing noise; putting the three-dimensional point cloud data subjected to noise removal into a point cloud convolutional neural network PointNet + + model for deep learning, and removing background three-dimensional point cloud data; projecting the background-removed three-dimensional point cloud data to a three-dimensional coordinate system, and solving the position of a corresponding extreme point, namely obtaining the coordinates of a corresponding feature point, so as to obtain corresponding body size data; taking the body size data of the live pig as an independent variable, taking the weight of the live pig as a dependent variable, and obtaining the weight of the live pig. The method does not need a large amount of manpower and material resources to weigh the live pigs one by one, but accurately estimates the weight through the image collection of the live pigs and the image analysis and calculation, thereby achieving the purpose of batch weight measurement.

Description

technical field [0001] The invention relates to the field of agriculture, in particular to a pig weight measurement method based on deep learning and a deep camera. Background technique [0002] my country is the world's largest producer of live pigs, ranking first in the world in both the scale of live pig breeding and the consumption of raw pork. The weight of live pigs is an important index to evaluate its growth and development status, and it is also the characteristic basis for the selection and evaluation of gilt pigs. Body weight index is an important basis for evaluating the reproductive ability and feeding ability of sow pigs. A sow with a suitable body weight has a high litter size and a high healthy piglet rate. At the same time, the feeding amount of the pigs is also regulated by the data of the pigs' weight. In the process of raising and managing pigs, the feeding work of pigs can be adjusted appropriately according to their weight data. Keep abreast of the ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/10G06T7/62G06T5/00G01G17/08
CPCG06T7/0002G06T7/10G06T7/62G06T5/002G01G17/08G06T2207/10028G06T2207/20084G06T2207/20081Y02P60/87
Inventor 王晓辰郝云涛武岩松常虹飞田茂
Owner INNER MONGOLIA UNIVERSITY
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